About Live Nation:

Join the team at Live Nation, where innovation meets live entertainment on a global scale! With 40,000 shows and 500 million tickets sold each year, we're the industry leader, powered by 44,000 talented individuals worldwide. At Live Nation, we're passionate about transforming live events and creating extraordinary moments for artists, event professionals, and fans.

About the Role:

We're looking for a Data Engineer (6-month contract) to play a key role in evolving our cloud data platforms across Live Nation Australia and New Zealand. Working within our AWS and Databricks environments, you'll design, build, and optimise data pipelines that underpin reporting, business intelligence, marketing performance, and emerging AI initiatives. Your focus will be on data quality, scalability, and operational excellence – ensuring our teams can trust and leverage data at speed. This is a hands on role within a modern, cloud-first data ecosystem supporting millions of fan interactions and high impact commercial decisions.

What you'll be doing:

• Pipeline development and operations: Build, maintain, and monitor data pipelines in AWS and Databricks, ingesting and transforming data from ticketing, POS, access systems, subscriptions, and marketing platforms to support analytics and AI/ML use cases.
• Data quality and governance: Ensure data integrity, security, and availability across first-party and partner sources while contributing to governance standards including access controls, naming conventions, and documentation.
• Analytics and modelling: Develop and maintain modelled datasets for BI, segmentation, and downstream use cases, supporting reliable reporting and business decision-making.
• AI/ML enablement: Prepare production-ready datasets and features for predictive models including propensity, churn, demand, and lifecycle use cases.
• Platform monitoring and optimisation: Monitor pipeline health and platform usage, escalating performance or reliability issues and assisting with onboarding new data sources as business needs evolve.
• Cross-functional collaboration: Act as the day-to-day engineering voice within projects, translating business requirements into practical data solutions while maintaining clear technical documentation and runbooks.

What we're looking for:

• Cloud and platform expertise: Strong hands-on experience with AWS (S3, IAM, cost awareness) and Databricks (Jobs, Workflows, Lakehouse concepts), with solid Apache Spark proficiency in SQL and DataFrame APIs.
• Production-level SQL and Python: Strong, production-ready skills in SQL and Python for complex data transformations, pipeline orchestration, and large-scale data processing.
• Data modelling and pipeline reliability: Experience building data models for analytics and segmentation, with a strong focus on data quality, validation, pipeline monitoring, and operational support to maintain high availability.
• Security and governance mindset: Familiarity with secure data access practices including secure views, Delta Sharing, and RBAC, along with a commitment to clear documentation and governance standards.
• AI/ML dataset preparation: Ability to prepare datasets and features for predictive and machine learning use cases, understanding how to structure data for effective model training and deployment.
• Practical problem-solver: A solutions-focused engineer who communicates clearly, documents thoroughly, and enjoys working across teams to turn complex requirements into reliable data solutions.

Equal Opportunities:

We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and Homelife. As a growing business, we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It's talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities.